• Streaming in the Wild with Apache Flink with Kostas Tzoumas - data Artisans

    Good afternoon! Here are the details of our joint Meetup (Data Science & Apache Flink) and link to secure your place on it. EVENT: Streaming in the Wild with Apache Flink. DATE: Wednesday, July 13, 6 pm, Sao Paulo UTC-3. REGISTRATION LINK: https://attendee.gotowebinar.com/register/8968033926608490498 WHAT IS APACHE FLINK: Flink is an open source and THE 4G of Data Sciences, Big Data and Analytics. Discover more details of Flink at http://bit.ly/29c4GLL (slides) and read how Intel Corporation decided to invest on Flink http://bit.ly/29c5mAS Speaker: Kostas Tzoumas, data Artisans Kostas is PMC member of Apache Flink and co-founder and CEO of data Artisans (http://data-artisans.com (http://data-artisans.com/)). Before founding data Artisans, Kostas did his postdoc at TU Berlin leading the Stratosphere project which served as inspiration for Apache Flink, received his PhD at Aalborg University. Streaming in the Wild with Apache Flink - Abstract This talk is an application-driven walkthrough to modern stream processing, exemplified by Apache Flink, and how this enables new applications and makes old applications easier and more efficient. In this talk, we will walk through several real-world stream processing application scenarios of Apache Flink, highlighting unique features in Flink that make these applications possible. In particular, we will see: 1. How support for handling out of order streams enables real-time monitoring of cloud infrastructure, 2. How the ability handle high-volume data streams with low latency SLAs enables real-time alerts in network equipment, 3. How the combination of high throughput and the ability to handle batch as a special case of streaming enables an architecture where the same exact program is used for real-time and historical data processing, and 4. How stateful stream processing can enable an architecture that eliminates the need for an external database store, leading to more than 100x performance speedup, among many other benefits. All the best, Higino Filho (https://www.linkedin.com/in/higinofilho?trk=hp-identity-name) & Slim Baltagi (https://www.linkedin.com/in/slimbaltagi?authType=OPENLINK&authToken=OmOR&locale=en_US&srchid=2524564301467658027616&srchindex=1&srchtotal=1&trk=vsrp_people_res_name&trkInfo=VSRPsearchId%3A2524564301467658027616%2CVSRPtargetId%3A21979395%2CVSRPcmpt%3Aprimary%2CVSRPnm%3Atrue%2CauthType%3AOPENLINK) - Brazil-Sao Paulo Apache Flink Meetup (http://www.meetup.com/Brazil-Sao-Paulo-Apache-Flink-Meetup/) Organizers

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  • Free Apache Flink Real-world use Cases (Face-2-Face) with Slim Baltagi, Chicago

    Olá Flinkers! Junte-se a nós para nosso primeiro free Face-2-Face Apache Flink Meetup (http://www.meetup.com/Brazil-Sao-Paulo-Apache-Flink-Meetup/): Apache Flink: Casos de Uso no Mundo Real. Descrição da palestra: Esta palestra explica como Apache Flink 1,0 que lançado em 08 de março de 2016 pela Apache Software Foundation (link), marca uma nova era de análise de Big Data e, em particular, Real-Time streaming analytics. A palestra irá mapear as capacidades do Flink para casos de uso do mundo real abrangendo múltiplos segmentos verticais tais como: serviços financeiros, saúde, propaganda e marketing, petróleo e gás, varejo e telecomunicações. Nesta palestra você aprenderá mais sobre: 1. O que é Apache Flink Stack? 2. Batch vs. Streaming Analytics 3. Principais diferenciais do Apache Flink para Streaming Analytics 4. Casos de Uso do mundo real com Flink para Streaming Analytics 5. Quem está usando Flink? 6. Onde você pode ir a partir de agora? Palestrante: Slim Baltagi (https://www.linkedin.com/in/slimbaltagi), Director of Big Data engineering at (Capital One Financial Corporation (https://home.capitalone360.com/), Chicago, US), Chicago, U.S. Bio: • Slim Baltagi é atualmente o Diretor de Engenharia de Big Data da Capital One em Chicago e tem mais de 5 anos de experiência de Big Data trabalhando em mais de uma dúzia de projetos de Big Data. Ele é reconhecido internacionalmente como um líder inovador na área de Big Data, é conhecido por apresentações públicas e palestras em conferências e universidades. Ele é evangelista do Apache Flink e organiza os Meetups do Apache Flink de New York City, Chicago, Washington DC, Dallas / Fort Worth e Seattle e co-organiza os de Paris, Madrid, São Paulo e Boston. Slim gosta de ensinar sobre as novas tecnologias de Big Data e desenvolver o Big Data Knowledge Base: http://www.SparkBigData.com que tem mais de 6.000 recursos categorizados sobre Hadoop, o Spark e Flink. Local: TRYP Sao Paulo Naçoes Unidas Hotel Meliá - Estação de trem próxima : Granja Julieta - Map: http://goo.gl/oDxwWI Rua Fernandes Moreira, 1264 - Chácara Santo Antônio, São Paulo - SP,[masked] Tel. (11)[masked] Quando: Quinta feira, 17 de março às 19:15hrs. Programa: 19:15 Registro, Coquetel & Networking 19:30 Anúncios 19:35 Apache Flink: Casos de Uso no Mundo Real 20:05 Q & A 20:20 “One more thing” moment & Networking Estamos ansiosos para recebê-lo em pessoalmente no Apache Flink Meetup: Casos de Uso no Mundo Real Saudações, Higino Filho (Data Science Brazil (http://datasciencebrazil.com)) & Slim Baltagi (SparkBigData.com (http://sparkbigdata.com)) http://www.meetup.com/Brazil-Sao-Paulo-Apache-Flink-Meetup/events/229257747/ ------ Hi Squirrels! Join us for a free Face-2-Face Apache Flink Meetup Real-world use cases. Talk description: This talk explains how Apache Flink 1.0 announced on March 8th, 2016 by the Apache Software Foundation (link), marks a new era of Big Data analytics and in particular Real-Time streaming analytics. The talk will map Flink's capabilities to real-world use cases that span multiples verticals such as: Financial Services, Healthcare, Advertisement, Oil and Gas, Retail and Telecommunications. In this talk, you learn more about: 1. What is Apache Flink Stack? 2. Batch vs. Streaming Analytics 3. Key Differentiators of Apache Flink for Streaming Analytics 4. Real-World Use Cases with Flink for Streaming Analytics 5. Who is using Flink? 6. Where do you go from here? Presenter: Slim Baltagi, Director of Big Data engineering at (Capital One Financial Corporation (https://home.capitalone360.com/), Chicago, US) Bio: • Slim Baltagi is currently a director of Big Data engineering at Capital One in Chicago with over 5 years of Big Data experience working on over a dozen Big Data projects. He is internationally recognized as a Thought Leader in the Big Data space and known for public presentations and lectures at conferences and universities. He is evangelizer of Apache Flink by running the New York City, Chicago, Washington DC, Dallas/Fort Worth and Seattle Apache Flink meetups and co-organizing the Paris, Madrid, Sao Paulo and Boston Flink meetups. He enjoys evangelizing about Big Data technologies and maintaining his Big Data Knowledge Base: http://www.SparkBigData.com with over 6,000 categorized web resources about Hadoop, Spark and Flink. Venue: TRYP Sao Paulo Naçoes Unidas Hotel Meliá - Nearest train station: Granja Julieta - Map: http://goo.gl/oDxwWI Rua Fernandes Moreira, 1264 - Chácara Santo Antônio, São Paulo - SP,[masked] Tel. (11)[masked] When: Thursday, March 17th at 7:15 pm BRT. Agenda: 19:15 Registration, Coquetel & Networking 19:30 Announcements & housekeeping 19:35 Apache Flink Meetup: Real-world use cases, 20:05 Q & A 20:20 “One more thing” moment & Networking WE look forward to welcoming you in person in our Face-2-Face Apache Flink Meetup: Real-world use cases Regards, Higino Filho (datasciencebrazil.com) & Slim Baltagi (SparkBigData.com --- http://www.meetup.com/Brazil-Sao-Paulo-Apache-Flink-Meetup/events/229257747/

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  • Introduction to Apache Flink: What, How, Why, Who, Where?

    Location visible to members

    Hi! Please join us for an exciting webinar to learn more about Apache Flink (http://flink.apache.org/) from Slim Baltagi, Director of Big Data engineering at Capital One; founder and organizer of the Apache Flink meetups in Chicago & New York City. Place: O webinar será transmitido pelo Go To Webinar. Link para inscrição: Register now! https://attendee.gotowebinar.com/register/3737797847832967436 After registering, you will receive a confirmation email containing information about joining the webinar. View System Requirements http://support.citrixonline.com/s/G2W/Help/SystemRequirements Sponsors: TBA Schedule: 7:00 PM, Sao Paulo UTC-3 time 7:00 pm Introduction 7:05 pm Webinar Talk 7:45 pm Q & A 8:00 pm Closing Talk description: This introductory level talk is about Apache Flink: a multi-purpose Big Data analytics framework leading a movement towards the unification of batch and stream processing in the open source. With the many technical innovations it brings along with its unique vision and philosophy, it is considered the 4 G (4th Generation) of Big Data Analytics frameworks providing the only hybrid (Real-Time Streaming + Batch) open source distributed data processing engine supporting many use cases: batch, streaming, relational queries, machine learning and graph processing. In this talk, you will learn about: 1. What is Apache Flink stack and how it fits into Data Science and the Big Data ecosystem? 2. How Apache Flink integrates with Hadoop and other open source tools for data input and output as well as deployment? 3. Why Apache Flink is an alternative to Apache Hadoop MapReduce, Apache Storm and Apache Spark. 4. Who is using Apache Flink? 5. Where to learn more about Apache Flink? Bio: Slim Baltagi (https://www.linkedin.com/in/slimbaltagi) is currently director of Big Data engineering at Capital One. He has over 18 years of IT and business experience and has spent the last 5 years of his life hadooping and more recently sparking and flinking! He enjoys evangelizing about Big Data technologies and maintaining a Big Data Knowledge Base: Hadoop, Spark, Flink (http://sparkbigdata.com/). He is also founder and organizer of the Apache Flink meetups in Chicago, New York City. Read LinkedIn Bio here (https://www.linkedin.com/in/slimbaltagi?authType=NAME_SEARCH&authToken=9FTi&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A21979395%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1453313058423%2Ctas%3Aslim).

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